Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study

• Κύριοι συγγραφείς: Turicchi, Jake (Συγγραφέας), O'Driscoll, Ruairi (Συγγραφέας), Finlayson, Graham (Συγγραφέας), Duarte, Cristiana (Συγγραφέας), Palmeira, A L (Συγγραφέας), Larsen, Sofus C (Συγγραφέας), Heitmann, Berit L (Συγγραφέας), Stubbs, R James (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: JMIR Publications, 2020-09-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: Connect to this object online.

BackgroundBody weight variability (BWV) is common in the general population and may act as a risk factor for obesity or diseases. The correct identification of these patterns may have prognostic or predictive value in clinical and research settings. With advancements in technology allowing for the f...